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rerank-2-lite
Use the rerank-2-lite embedding or reranking model with Pinecone: specs and index setup. Overview
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Documentation Index
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Use the rerank-2-lite embedding or reranking model with Pinecone: specs and index setup. Overview
!pip install -qU voyageai pinecone
import voyageai
# These are the documents returned from a search using Pinecone
documents = [
"Apple is a popular fruit known for its sweetness and crisp texture.",
"The tech company Apple is known for its innovative products like the iPhone.",
"Many people enjoy eating apples as a healthy snack.",
"Apple Inc. has revolutionized the tech industry with its sleek designs and user-friendly interfaces.",
"An apple a day keeps the doctor away, as the saying goes."
]
query = "Tell me about the tech company known as Apple"
co = voyageai.Client(api_key=VOYAGE_API_KEY)
reranked_docs = vo.rerank(
query=query,
documents=documents,
model="rerank-2",
top_k=3
)
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